ai scientist

Intuit

<div><p>Category Data</p>
<p>Location Bangalore, India
</p><p>Job ID 18469</p></div>
<br><div><div><p>Company Overview</p>
<div><p>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.</p>
</div></div><div><p>Job Overview</p>
<p>Intuit is seeking a Sr AI Scientist to join our AI Science team in Intuit India for the Virtual Expert Platform (VEP) Organization.</p><p>
We&rsquo;re investing in a culture of &ldquo;builders&rdquo; by fostering an environment where innovation, creativity, and bold thinking are encouraged. I believe that the &ldquo;builder&rdquo; mindset is necessary for us to accelerate our move toward AI-native experiences. This requires more builders who can rapidly apply AI and emerging technologies to solve our customers&rsquo; problems.</p><p>
Join the Virtual Expert Platform team, the driving force behind Intuit's expert service, sales, and workforce management (and other Operations Research topics), generating billions in revenue. We are seeking a Principal AI Scientist to help reimagine and shape VEP's future in the era of Agentic AI.</p><p><b><br>
Responsibilities</b></p><ul><li>
Practices leadership and communication skills to influence teams and to evangelize AI science across the organization</li><li>
Collaborates with stakeholders to define success criteria and align ML model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products</li><li>
Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards</li><li>
Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.</li><li>
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.</li><li>
Runs A/B tests to draw conclusions on the impact of your team&rsquo;s work and communicates results to peers and leaders</li><li>
Communicates with partners to ensure successful delivery and integration of DS solutions.</li><li>
Proactively researches, explores, and enables new AI/ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.</li></ul><p><b><br>
Qualifications</b></p><ul><li>
MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.).</li><li>
2+ years of experience with data science for PhD and 5+ years for Masters.</li><li>
Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn.</li><li>
Efficient in SQL, Hive, or SparkSQL, etc.</li><li>
Comfortable in Linux environment</li><li>
Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.</li><li>
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences</li></ul><br>
Bangalore $3854500 - $5782000</div></div><p></p>

Senior AI Scientist

700apps

<div>
 700Apps is actively seeking a talented and experienced Senior AI Scientist to join our esteemed team. In this pivotal role, you will be responsible for advancing our artificial intelligence initiatives through rigorous research, model development, and the application of cutting-edge technologies. Your expertise will play a crucial role in shaping innovative AI solutions that address complex challenges and drive business outcomes.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Conduct extensive research in artificial intelligence and machine learning to develop state-of-the-art models that can be applied to various domains within the organization
  </li>
  <li>
   Design and implement robust AI algorithms and frameworks, ensuring scalability and efficiency in model performance
  </li>
  <li>
   Collaborate with cross-functional teams including data engineers, software developers, and business analysts to translate business needs into technical solutions
  </li>
  <li>
   Lead the development of advanced proofs of concept (POCs) and prototypes to demonstrate the potential of AI technologies to stakeholders
  </li>
  <li>
   Evaluate and refine existing models, implementing best practices to enhance their accuracy and reliability
  </li>
  <li>
   Stay abreast of the latest trends and advancements in AI research, providing thought leadership and insights to the team and the organization
  </li>
  <li>
   Document methodologies, findings, and insights to foster knowledge sharing and ensure reproducibility of results
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong research background
  </li>
  <li>
   5+ years of relevant experience in designing and developing AI models, particularly in natural language processing and large-scale machine learning applications
  </li>
  <li>
   Proficiency in programming languages such as Python and R, along with extensive experience using AI frameworks (e.g., TensorFlow, PyTorch, Keras)
  </li>
  <li>
   Strong understanding of statistical analysis, data mining techniques, and computational methods
  </li>
  <li>
   Demonstrated ability to work on complex datasets and develop accurate predictive models
  </li>
  <li>
   Exemplary problem-solving skills and capacity to work collaboratively in a fast-paced environment
  </li>
  <li>
   Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
  </li>
  <li>
   Publications in reputable AI conferences or journals are an advantage
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Private Health Insurance
  </li>
  <li>
   Training &amp; Development
  </li>
  <li>
   Attractive Salary
  </li>
  <li>
   Social Insurance
  </li>
  <li>
   Family Package
  </li>
 </ul>
</div>


<div><p>700Apps is actively seeking a talented and experienced Senior AI Scientist to join our esteemed team. In this pivotal role, you will be responsible for advancing our artificial intelligence initiatives through rigorous research, model development, and the application of cutting-edge technologies. Your expertise will play a crucial role in shaping innovative AI solutions that address complex challenges and drive business outcomes.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>Conduct extensive research in artificial intelligence and machine learning to develop state-of-the-art models that can be applied to various domains within the organization.</li>
<li>Design and implement robust AI algorithms and frameworks, ensuring scalability and efficiency in model performance.</li>
<li>Collaborate with cross-functional teams including data engineers, software developers, and business analysts to translate business needs into technical solutions.</li>
<li>Lead the development of advanced proofs of concept (POCs) and prototypes to demonstrate the potential of AI technologies to stakeholders.</li>
<li>Evaluate and refine existing models, implementing best practices to enhance their accuracy and reliability.</li>
<li>Stay abreast of the latest trends and advancements in AI research, providing thought leadership and insights to the team and the organization.</li>
<li>Document methodologies, findings, and insights to foster knowledge sharing and ensure reproducibility of results.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong research background.</li>
<li>5+ years of relevant experience in designing and developing AI models, particularly in natural language processing and large-scale machine learning applications.</li>
<li>Proficiency in programming languages such as Python and R, along with extensive experience using AI frameworks (e.g., TensorFlow, PyTorch, Keras).</li>
<li>Strong understanding of statistical analysis, data mining techniques, and computational methods.</li>
<li>Demonstrated ability to work on complex datasets and develop accurate predictive models.</li>
<li>Exemplary problem-solving skills and capacity to work collaboratively in a fast-paced environment.</li>
<li>Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.</li>
<li>Publications in reputable AI conferences or journals are an advantage.</li>
</ul><p><b>Benefits</b></p><p></p><ul>
<li>Private Health Insurance</li>
<li>Training &amp; Development</li>
<li>Attractive Salary
</li><li>Social Insurance</li>
<li>Family Package</li></ul></div>

<div><div>Company Overview</div>
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&amp;D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world&rsquo;s leading technology providers to accelerate the delivery of tomorrow&rsquo;s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.<div></div><div>
Group/Division</div>
The vision of KLA&rsquo;s global human resources organization is to become a leader and partner to operating leadership in support of the company&rsquo;s efforts to achieve its strategic growth, customer and operating objectives through strategic talent management. Our mission is to enable the business, and leverage human resources to achieve short and long-term business objectives. Our primary areas of strategic focus include talent acquisition, individual and organizational assessment and development, performance management, inclusion and engagement, and rewards. The global HR organization includes HR business partners, learning and development, talent acquisition, compensation and benefits, employee communications, and HR system operations.<div></div><div>
Job Description/Preferred Qualifications</div><div>
We are seeking a skilled Machine Learning/AI Scientist intern to join our Services AI Engineering team. The successful candidate will be a part of our AI innovations group driving advanced research and development for future KLA use-cases. This individual will play a key role in architecting, developing, and testing their research.</div><div></div><div>
Key Responsibilities:</div><ul><li>
Research emerging AI technologies focused on multimodal models and AI databases</li><li>
Design, develop, and deploy proof of concepts from research</li><li>
Collaborate with cross-functional teams to integrate models into our existing systems and workflow</li><li>
Participate in AI research and systems architecture discussions and code reviews</li><li>
Conduct data engineering and analysis to improve model accuracy and efficiency</li><li>
Fine-tune models based on feedback and performance metrics</li></ul><div></div><div>
Minimum Qualifications</div><div>
Qualifications:</div><ul><li>
Master&rsquo;s degree and above in AI, Machine Learning, Computer Science, Engineering, or a related field</li><li>
Hands-on experience in machine learning, natural language processing, and AI technologies</li><li>
Strong programming skills in Python and familiarity with ML libraries (Ex. TensorFlow, Pytorch)</li><li>
Experience with developing and deploying large language models either cloud or on-premise</li><li>
Familiarity with CI/CD pipelines and DevOps</li><li>
Prior experience in a similar industry is a plus</li><li>
Excellent problem-solving and analytical skills</li><li>
Strong communication and teamwork abilities</li></ul><div></div>
Base Pay Range: $40.00 - $50.00 per hour based on pursuit of a Masters and Ph.D.<div></div>
Primary Location: USA-MI-Ann Arbor-KLA<div></div>
KLA&rsquo;s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.<div></div><div>
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.</div><div></div><div><br>
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at <div>talent.acquisition@kla.com</div> or at +1-408-352-2808 to request accommodation.</div><div></div><div>
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched <div>KLA&rsquo;s Careers website</div> for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to <div>talent.acquisition@kla.com</div> to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.</div></div><div></div>

AI Scientist Intern

Turkcell

<div>
 <p>
  Turkcell olarak yeteneklerimize e&scedil;siz insan deneyimi ya&scedil;atarak, de&gbreve;er yaratan s&uuml;rd&uuml;r&uuml;lebilir bir organizasyon in&scedil;a etmeyi ve i&scedil;veren markam&inodot;z&inodot; zirveye ta&scedil;&inodot;may&inodot; hedefliyoruz. Bu hedef do&gbreve;rultusunda benimsedi&gbreve;imiz de&gbreve;erlerimizi i&scedil; yap&inodot;&scedil; bi&ccedil;imlerimize yans&inodot;t&inodot;yoruz.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Turkcell&rsquo;de Neye De&gbreve;er Veriyoruz?
   </u>
  </strong>
 </p>
 <p>
  <strong>
   &Idot;nsan Odakl&inodot;l&inodot;k:
  </strong>
  E&scedil;siz insan deneyimi olu&scedil;turmak amac&inodot;yla uygulamalar&inodot;m&inodot;z&inodot;n merkezinde insan&inodot; konumluyor, &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z&inodot;n potansiyelini en &uuml;st d&uuml;zeye &ccedil;&inodot;karmay&inodot; ve onlar&inodot;n yeteneklerini geli&scedil;tirmeyi hedefliyoruz.
 </p>
 <p>
  <strong>
   Yenilik:
  </strong>
  &Idot;nsanlar&inodot;n hayat&inodot;nda fark yaratan yenilik&ccedil;i &ccedil;&ouml;z&uuml;mler &uuml;retmek, fikir ve teknolojileri ke&scedil;fetmek i&ccedil;in tutkulu bir &scedil;ekilde &ccedil;al&inodot;&scedil;&inodot;yoruz.
  <strong>
   🚀
  </strong>
 </p>
 <p>
  <strong>
   M&uuml;kemmellik:
  </strong>
  Dahil oldu&gbreve;umuz ve temas etti&gbreve;imiz her noktada m&uuml;kemmelliyeti hedefliyor, kendimize y&uuml;ksek standartlar belirliyor, ola&gbreve;an&uuml;st&uuml; sonu&ccedil;lar elde ediyoruz.
  <strong>
   🎯👌🏼
  </strong>
 </p>
 <p>
  <strong>
   &Idot;&scedil; Birli&gbreve;i:
  </strong>
  Ba&scedil;ar&inodot;n&inodot;n anahtar&inodot; olarak birlikte &ccedil;al&inodot;&scedil;may&inodot;, sayg&inodot; ve &scedil;effafl&inodot;k k&uuml;lt&uuml;r&uuml;n&uuml; te&scedil;vik ediyoruz. 👥🔗🧩
 </p>
 <p>
  <strong>
   M&uuml;&scedil;teri Odakl&inodot;l&inodot;k:
  </strong>
  M&uuml;&scedil;terilerimizin ihtiya&ccedil;lar&inodot;n&inodot; merkeze koyarak ola&gbreve;an&uuml;st&uuml; m&uuml;&scedil;teri deneyimleri sunmay&inodot; hedefliyoruz. 🤝🖇️
 </p>
 <p>
  <strong>
   S&uuml;rd&uuml;r&uuml;lebilirlik:
  </strong>
  M&uuml;&scedil;terilerimiz, &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z ve d&uuml;nyam&inodot;z i&ccedil;in s&uuml;rd&uuml;r&uuml;lebilir bir gelecek amac&inodot;yla &ccedil;al&inodot;&scedil;&inodot;yoruz.
  <strong>
   🌍
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Ne Bekliyoruz?
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Bilgisayar Bilimleri, Yapay Zeka, Makine &Ouml;&gbreve;renimi veya ilgili bir alanda Y&uuml;ksek Lisans derecesi.
  </li>
  <li>
   Doktora derecesi g&uuml;&ccedil;l&uuml; bir tercih sebebidir.
  </li>
  <li>
   B&uuml;y&uuml;k Dil Modellerinin (LLM'ler) e&gbreve;itimi ve &ouml;zellikle ince ayar&inodot; (fine-tuning) konusunda kan&inodot;tlanm&inodot;&scedil;, derinlemesine end&uuml;stri veya ara&scedil;t&inodot;rma tecr&uuml;besi,
  </li>
  <li>
   RLHF, DPO ve/veya benzeri geli&scedil;mi&scedil; LLM hizalama ve ince ayar teknikleri hakk&inodot;nda g&uuml;&ccedil;l&uuml; teorik bilgi ve pratik uygulama deneyimi,
  </li>
  <li>
   Python programlama diline ve PyTorch, TensorFlow, JAX gibi derin &ouml;&gbreve;renme k&uuml;t&uuml;phanelerine (&ouml;zellikle PyTorch) ileri d&uuml;zeyde hakimiyet,
  </li>
  <li>
   Hugging Face Transformers, PEFT (Parameter-Efficient Fine-Tuning) gibi LLM ekosistemi ara&ccedil;lar&inodot; ve k&uuml;t&uuml;phaneleri konusunda deneyim,
  </li>
  <li>
   Plan&amp;Act, ReAct gibi agentic reasoning patterns &uuml;zerine proje deneyimi,
  </li>
  <li>
   G&uuml;&ccedil;l&uuml; makine &ouml;&gbreve;renimi temelleri, model de&gbreve;erlendirme metrikleri ve istatistiksel analiz bilgisi,
  </li>
  <li>
   Karma&scedil;&inodot;k teknik problemleri analiz etme, yenilik&ccedil;i &ccedil;&ouml;z&uuml;mler geli&scedil;tirme ve bunlar&inodot; uygulama becerisi,
  </li>
  <li>
   &Idot;yi derecede &Idot;ngilizce (teknik literat&uuml;r&uuml; takip edebilmek ve potansiyel olarak uluslararas&inodot; ekiplerle &ccedil;al&inodot;&scedil;abilmek i&ccedil;in),
  </li>
  <li>
   Tak&inodot;m &ccedil;al&inodot;&scedil;mas&inodot;na yatk&inodot;nl&inodot;k ve g&uuml;&ccedil;l&uuml; ileti&scedil;im becerileri,
  </li>
  <li>
   Tercihen;
  </li>
  <li>
   A&ccedil;&inodot;k kaynak LLM projelerine (&ouml;rn. model geli&scedil;tirme, k&uuml;t&uuml;phane katk&inodot;s&inodot;) katk&inodot;da bulunmu&scedil; olmak,
  </li>
  <li>
   MLOps prensipleri ve ara&ccedil;lar&inodot; (Docker, Kubernetes, MLflow, Weights &amp; Biases vb.) hakk&inodot;nda bilgi sahibi olmak,
  </li>
  <li>
   On premise / Bulut platformlar&inodot; &uuml;zerinde model e&gbreve;itimi ve da&gbreve;&inodot;t&inodot;m&inodot; deneyimi,
  </li>
  <li>
   Yapay zeka / makine &ouml;&gbreve;renimi alan&inodot;nda (tercihen LLM &uuml;zerine) konferans veya dergi yay&inodot;n&inodot; yapm&inodot;&scedil;,
  </li>
  <li>
   G&uuml;&ccedil;l&uuml; problem &ccedil;&ouml;zme, analitik d&uuml;&scedil;&uuml;nme ve teknik karar alma yetene&gbreve;i olan,
  </li>
  <li>
   &Idot;leti&scedil;im yetene&gbreve;i g&uuml;&ccedil;l&uuml; ve ikna kabiliyeti y&uuml;ksek; farkl&inodot; payda&scedil;larla etkili bir &scedil;ekilde etkile&scedil;im kurabilen,
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Turkcell&rsquo;de Senior AI Scientist Rol&uuml; Ne Yapar?
   </u>
  </strong>
 </p>
 <ul>
  <li>
   &Uuml;r&uuml;n hedeflerimiz ve veri setlerimiz i&ccedil;in en uygun a&ccedil;&inodot;k kaynakl&inodot; LLM'leri ara&scedil;t&inodot;r&inodot;r de&gbreve;erlendirir ve se&ccedil;er,
  </li>
  <li>
   Toplanan veriyi kullanarak LLM'ler &uuml;zerinde etkili ince ayar (fine-tuning) stratejileri tasarlar ve uygular,
  </li>
  <li>
   &Idot;nsan Geri Bildiriminden Peki&scedil;tirmeli &Ouml;&gbreve;renme (RLHF), Do&gbreve;rudan Tercih Optimizasyonu (DPO - Direct Preference Optimization) ve benzeri geli&scedil;mi&scedil; LLM ince ayar metodolojileri konusunda derinlemesine bilgi sahibidir ve bunlar&inodot; aktif olarak kullan&inodot;r,
  </li>
  <li>
   Gerekti&gbreve;inde, belirli g&ouml;revler i&ccedil;in LLM'lerin s&inodot;f&inodot;rdan e&gbreve;itimi s&uuml;re&ccedil;lerini y&ouml;netir veya bu s&uuml;re&ccedil;lere katk&inodot;da bulunur,
  </li>
  <li>
   Model performans&inodot;n&inodot; (do&gbreve;ruluk, h&inodot;z, maliyet, g&uuml;venlik vb.) s&uuml;rekli olarak izler, de&gbreve;erlendirir ve iyile&scedil;tirmek &ccedil;in metrikler ve de&gbreve;erlendirme protokolleri geli&scedil;tirir,
  </li>
  <li>
   Modelleri &ccedil;&inodot;kar&inodot;m (inference) performans&inodot; ve maliyet etkinli&gbreve;i a&ccedil;&inodot;s&inodot;ndan optimize etmek,
  </li>
  <li>
   Etkili ve g&uuml;venli komut (prompt) tasar&inodot;mlar&inodot; olu&scedil;turur ve komut m&uuml;hendisli&gbreve;i (prompt engineering) s&uuml;re&ccedil;lerine katk&inodot;da bulunur,
  </li>
  <li>
   MLOps ve Backend ekipleriyle yak&inodot;n i&scedil; birli&gbreve;i i&ccedil;inde &ccedil;al&inodot;&scedil;arak modellerin &ouml;l&ccedil;eklenebilir ve g&uuml;venilir bir &scedil;ekilde &uuml;retim ortam&inodot;na da&gbreve;&inodot;t&inodot;m&inodot;n&inodot; (deployment) sa&gbreve;lar,
  </li>
  <li>
   LLM alan&inodot;ndaki en son akademik ara&scedil;t&inodot;rmalar&inodot;, a&ccedil;&inodot;k kaynak projelerini ve end&uuml;stri trendlerini yak&inodot;ndan takip eder ve bu bilgileri ekibe ve &uuml;r&uuml;ne entegre eder.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Ayd&inodot;nlatma Metni
   </u>
  </strong>
  https://kariyerim.turkcell.com.tr/Documents/Calisan_Adayi_Aydinlatma_Metni.pdf
 </p>
 <p>
  <strong>
   <u>
    Yan Haklar ve Faydalar
   </u>
  </strong>
 </p>
 <p>
  Ekibimizin bir &uuml;yesi olarak, rekabet&ccedil;i bir &uuml;cret, esnek &ccedil;al&inodot;&scedil;ma d&uuml;zenlemeleri, kariyer geli&scedil;imi ve ilerleme f&inodot;rsatlar&inodot; gibi bir dizi yan hak ve fayda ile bulu&scedil;ma f&inodot;rsat&inodot; yakalayacaks&inodot;n. Detaylara "https://bit.ly/TurkcellTKusagi&rsquo;&rsquo; &uuml;zerinden ula&scedil;abilirsin. 🎁▶️
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   *Turkcell bir e&scedil;it f&inodot;rsat i&scedil;verenidir ve &inodot;rka, renge, dine, cinsiyete, ulusal k&ouml;kene, etnik k&ouml;kene, ya&scedil;a, fiziksel g&ouml;r&uuml;n&uuml;&scedil;e veya duruma, medeni durumuna, askerlik durumuna bak&inodot;lmaks&inodot;z&inodot;n, t&uuml;m nitelikli ba&scedil;vuru sahiplerini istihdam i&ccedil;in de&gbreve;erlendirmeye al&inodot;r.
  </em>
 </p>
</div>


SENIOR AI SCIENTIST

Solventum

<div>Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers&rsquo; toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.<p></p><p><b>
Job Description:</b></p><p></p><p><b>
AI Scientist &ndash; Modern AI Applications</b></p><p></p><p><b>
The Impact You&rsquo;ll Make in this Role</b></p><p>
As a <b>Principal AI Scientist</b> with deep expertise in <b>Agentic AI</b>, <b>Generative AI</b>, and <b>Natural Language Understanding (NLU),</b> you will lead high-impact technical innovation in HIS applications. In this role, you will be a <b>hands-on research and development leader</b> - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations.</p><div></div><p><b>
Key Responsibilities</b></p><p><b>
Research &amp; Innovation</b></p><ul><li>
Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.</li><li>
Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.</li><li>
Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding.</li></ul><p><b>
Healthcare-Focused AI Development</b></p><ul><li>
Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.</li><li>
Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).</li><li>
Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.</li></ul><p><b>
Technical Leadership</b></p><ul><li>
Serve as the primary technical authority on Agentic and Generative AI within project teams.</li><li>
Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.</li><li>
Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.</li></ul><p><b>
Operational &amp; Compliance Excellence</b></p><ul><li>
Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.</li><li>
Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).</li><li>
Partner with engineering to move research prototypes into production environments.</li></ul><div></div><p><b>
Required Qualifications</b></p><ul><li>
Master&rsquo;s in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.</li></ul><p>
Or</p><ul><li>
PhD in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.</li></ul><ul><li>
Proficiency in Python, R, and modern ML libraries.</li><li>
Experience with GenAI, LLMs, and transformer architectures.</li><li>
Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).</li><li>
Hands-on experience with autonomous AI agents and reasoning systems.</li><li>
Strong track record applying AI to healthcare or life sciences use cases.</li><li>
Familiarity with cloud platforms (AWS) and MLOps practices.</li><li>
5+ years of experience managing direct reports (hiring, performance reviews, etc.)</li></ul><p><b>
Preferred Skills</b></p><ul><li>
Multi-modal AI research experience (text, image, structured data).</li><li>
Knowledge graph integration and symbolic reasoning expertise.</li><li>
Proven ability to take AI research from concept to production.</li></ul><p></p><p>
Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.</p><p></p><p>
Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of <b>@solventum.com</b>. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.</p><p></p><p><b>
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.</b></p><p></p><p><b>
Solventum Global Terms of Use and Privacy Statement</b></p><p><br>
Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms.</p><p></p><p>
Please access the linked document, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the<br>
terms.</p></div>

AI Scientist – Modern AI Applications

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Come join the Intuit Data Exchange (IDX) team as part of the Intuit as a Principal Scientist. We are looking for creative problem solvers with a passion for innovation to join our team and revolutionize the way the world does business. You will be deploying AI/GenAI solutions to simplify acquisition of data and documents from &lsquo;000s of providers WW while maintaining trust. The structured data acquired is used in workflows from Personal Finance, Taxes and running businesses, thus powering prosperity around the world. Your job includes the following:
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drives architecture decisions, influences and contributes to ML platform architecture and strategy
  </li>
  <li>
   Creates a multi-year vision that connects product strategy with technology strategy
  </li>
  <li>
   Practices excellent leadership and communication skills to influence and lead teams and evangelize AI across the organization and the larger company
  </li>
  <li>
   Leads team&rsquo;s work in one or more of ML, NLP, Statistics, or Optimization, and performs hands-on work in these domains.
  </li>
  <li>
   Weighs ROI considerations of general and tailored capabilities for projects in the team
  </li>
  <li>
   Creates new capabilities and technology shifts that solve critical business problems
  </li>
  <li>
   Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
  </li>
  <li>
   Influences business leaders and architects around the company to shape mission-critical projects
  </li>
  <li>
   Leads team and partners to the successful delivery and integration of ML solutions
  </li>
  <li>
   Conducts design reviews, and holds teams to technical and operational rigor.
  </li>
  <li>
   Acts as an advisor in overseeing and mentoring the work of colleagues toward the building of a vibrant practice community
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field or equivalent work experience
  </li>
  <li>
   Solid knowledge of statistical techniques
  </li>
  <li>
   3+ years as either a lead in a data science role or a management position in data science
  </li>
  <li>
   Strong communication skills and proven experience as an influencer at the executive level
  </li>
  <li>
   Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization
  </li>
  <li>
   6+ years&rsquo; experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
  </li>
  <li>
   6+ years&rsquo; experience with a general-purpose programming language (e.g. Python, Scala, etc.)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strongly Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
  </li>
  <li>
   Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization
  </li>
  <li>
   Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
  </li>
  <li>
   Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
  </li>
  <li>
   Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code
  </li>
  <li>
   Proven track record of influencing business leaders to shape mission-critical projects
  </li>
  <li>
   Proven track record of leading teams to successful delivery of ML solutions
  </li>
  <li>
   Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel
   <br/>
   <br/>
  </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</div>


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